Geoff Macintyre

21.9k total citations · 1 hit paper
38 papers, 1.0k citations indexed

About

Geoff Macintyre is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Geoff Macintyre has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Geoff Macintyre's work include Cancer Genomics and Diagnostics (11 papers), Genetics, Bioinformatics, and Biomedical Research (9 papers) and Genomics and Phylogenetic Studies (8 papers). Geoff Macintyre is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Genetics, Bioinformatics, and Biomedical Research (9 papers) and Genomics and Phylogenetic Studies (8 papers). Geoff Macintyre collaborates with scholars based in Australia, United Kingdom and United States. Geoff Macintyre's co-authors include Adam Kowalczyk, Izhak Haviv, Niall M. Corcoran, Christopher M. Hovens, James D. Brenton, James Bailey, Anthony J. Costello, Matthew Hong, Bauke Ylstra and Haroon Naeem and has published in prestigious journals such as Nature, Science and Journal of Clinical Oncology.

In The Last Decade

Geoff Macintyre

38 papers receiving 1.0k citations

Hit Papers

A pan-cancer compendium of chromosomal instability 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A pan-cancer compendium of chromosomal instability
    2022 135 citations Ruben M. Drews, Bárbara Hernando et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Geoff Macintyre Australia 15 671 313 229 141 117 38 1.0k
Jong‐Lyul Park South Korea 23 1.1k 1.7× 474 1.5× 303 1.3× 137 1.0× 115 1.0× 58 1.5k
Zhenqing Ye United States 19 852 1.3× 268 0.9× 222 1.0× 225 1.6× 158 1.4× 38 1.2k
Аndrey S. Glotov Russia 20 615 0.9× 302 1.0× 272 1.2× 68 0.5× 58 0.5× 131 1.2k
Rick Kamps Netherlands 16 495 0.7× 199 0.6× 233 1.0× 95 0.7× 94 0.8× 26 1.1k
Rebecca Tagett United States 16 746 1.1× 315 1.0× 167 0.7× 68 0.5× 163 1.4× 33 1.1k
Akihisa Kamataki Japan 16 399 0.6× 171 0.5× 73 0.3× 97 0.7× 86 0.7× 33 907
Sabah Kadri United States 20 677 1.0× 382 1.2× 149 0.7× 233 1.7× 195 1.7× 61 1.5k
Brian Rhees United States 12 716 1.1× 569 1.8× 249 1.1× 125 0.9× 136 1.2× 26 1.3k
Giorgio Melloni United States 15 497 0.7× 255 0.8× 189 0.8× 94 0.7× 257 2.2× 41 984

Countries citing papers authored by Geoff Macintyre

Since Specialization
Citations

This map shows the geographic impact of Geoff Macintyre's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Geoff Macintyre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff Macintyre more than expected).

Fields of papers citing papers by Geoff Macintyre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoff Macintyre. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Geoff Macintyre. The network helps show where Geoff Macintyre may publish in the future.

Co-authorship network of co-authors of Geoff Macintyre

This figure shows the co-authorship network connecting the top 25 collaborators of Geoff Macintyre. A scholar is included among the top collaborators of Geoff Macintyre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geoff Macintyre. Geoff Macintyre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Salguero, Israel, Daniel Giménez-Llorente, J. Bautista, et al.. (2025). A comprehensive genetic catalog of human double-strand break repair. Science. 390(6768). eadr5048–eadr5048. 1 indexed citations
2.
García, María J., et al.. (2024). scAbsolute: measuring single-cell ploidy and replication status. Genome biology. 25(1). 62–62. 4 indexed citations
3.
Vias, Maria, Lena Morrill Gavarró, Carolin M. Sauer, et al.. (2023). High-grade serous ovarian carcinoma organoids as models of chromosomal instability. eLife. 12. 20 indexed citations
4.
Gallego, Alejandro, Marta Mendiola, Bárbara Hernando, et al.. (2022). Prognostic markers of inflammation in endometrioid and clear cell ovarian cancer. International Journal of Gynecological Cancer. 32(8). 1009–1016. 10 indexed citations
5.
Drews, Ruben M., Bárbara Hernando, Maxime Tarabichi, et al.. (2022). A pan-cancer compendium of chromosomal instability. Nature. 606(7916). 976–983. 135 indexed citations breakdown →
6.
Hernando, Bárbara, et al.. (2022). CNpare: matching DNA copy number profiles. Bioinformatics. 38(14). 3638–3641. 2 indexed citations
7.
Macintyre, Geoff, Anna Piskorz, Edith Ross, et al.. (2021). FrenchFISH: Poisson Models for Quantifying DNA Copy Number From Fluorescence In Situ Hybridization of Tissue Sections. JCO Clinical Cancer Informatics. 5(5). 176–186. 1 indexed citations
8.
Mangiola, Stefano, Geoff Macintyre, Ryan Hutchinson, et al.. (2021). MSH2-deficient prostate tumours have a distinct immune response and clinical outcome compared to MSH2-deficient colorectal or endometrial cancer. Prostate Cancer and Prostatic Diseases. 24(4). 1167–1180. 6 indexed citations
9.
Sapre, Nikhil, Geoff Macintyre, Michael J. Clarkson, et al.. (2016). A urinary microRNA signature can predict the presence of bladder urothelial carcinoma in patients undergoing surveillance. British Journal of Cancer. 114(4). 454–462. 73 indexed citations
10.
Mangiola, Stefano, Matthew Hong, Marek Cmero, et al.. (2016). Comparing nodal versus bony metastatic spread using tumour phylogenies. Scientific Reports. 6(1). 33918–33918. 14 indexed citations
11.
Tan, Yuen, Geoff Macintyre, Izhak Haviv, et al.. (2014). Canonical Androstenedione Reduction Is the Predominant Source of Signaling Androgens in Hormone-Refractory Prostate Cancer. Clinical Cancer Research. 20(21). 5547–5557. 38 indexed citations
12.
Shanmugam, Avinash Kumar & Geoff Macintyre. (2014). Establishing and Managing a Global Student Network. PLoS Computational Biology. 10(10). e1003920–e1003920. 1 indexed citations
13.
Oluwagbemi, Olugbenga, Marion O. Adebiyi, Segun Fatumo, & Geoff Macintyre. (2014). Paving the Way Towards a Successful and Fulfilling Career in Computational Biology. PLoS Computational Biology. 10(5). e1003593–e1003593. 2 indexed citations
14.
Sapre, Nikhil, Matthew Hong, Geoff Macintyre, et al.. (2014). Curated MicroRNAs in Urine and Blood Fail to Validate as Predictive Biomarkers for High-Risk Prostate Cancer. PLoS ONE. 9(4). e91729–e91729. 40 indexed citations
15.
Fatumo, Segun, et al.. (2014). Workshops: A Great Way to Enhance and Supplement a Degree. PLoS Computational Biology. 10(2). e1003497–e1003497. 9 indexed citations
16.
Macintyre, Geoff, Magali Michaut, & Thomas Abeel. (2013). The Regional Student Group Program of the ISCB Student Council: Stories from the Road. PLoS Computational Biology. 9(9). e1003241–e1003241. 7 indexed citations
17.
Stobbe, Miranda D., et al.. (2013). Breaking the Ice and Forging Links: The Importance of Socializing in Research. PLoS Computational Biology. 9(11). e1003355–e1003355. 7 indexed citations
18.
Ridder, Jeroen de, Yana Bromberg, Magali Michaut, et al.. (2013). The Young PI Buzz: Learning from the Organizers of the Junior Principal Investigator Meeting at ISMB-ECCB 2013. PLoS Computational Biology. 9(11). e1003350–e1003350. 1 indexed citations
19.
Pirola, Luciano, Aneta Balcerczyk, Richard W. Tothill, et al.. (2011). Genome-wide analysis distinguishes hyperglycemia regulated epigenetic signatures of primary vascular cells. Genome Research. 21(10). 1601–1615. 162 indexed citations
20.
Shi, Fan, Christopher Leckie, Geoff Macintyre, et al.. (2010). A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer. BMC Bioinformatics. 11(1). 477–477. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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